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Showing 1 to 2 of 2 for “"Deconfounding"”.
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Identification and Estimation with Deconfounded Instruments
… variables. A crucial estimation step called deconfounding recovers variation in the instruments, which is unassociated with some observed variables called proxies, and consequently with any unobserved variables that explain the association between the instruments and proxies. These unobserved …
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Representation Learning Based Causal Inference in Observational Studies
… hurdle in estimating causal effect. As such, deconfounding constructs the main subject of this dissertation, that is (i) to restore the covariate balance between treatment groups and (ii) to attenuate spurious correlations in training data to derive valid causal conclusions that generalize. By …